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Compare its radius with the length of every feasible link.
To find a feasible link scheduling, we propose a simple greedy algorithm (Algorithm 1).
The scheduling scheme in [15] uses independent sets for feasible link scheduling in TDMA-based WMNs.
If n DNR = k, go to Step 3. Step 2.1 If the end node of the feasible link is not the dummy destination node, then a new ripple will be triggered at the end node of the feasible link, and the initial radius of the new ripple is the radius of the stimulating ripple minus the length of the feasible link.
Step 2.2 If the end node of the feasible link is the dummy destination node, then update n DNR = n DNR + 1.
For the sake of comparison, the throughput regioni F of the corresponding saturated case is defined as the set of all feasible link rates, i.e., F = { r | r l = r l ( p ), p ∈ P }.
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Once that all the RAU-user links have been established, the proposed algorithms find the final subset of feasible links and allocate powers and rates.
Searching for a set of paths that maximize the throughput of each layered unicast session requires high computational complexity because all feasible links must be considered.
In this case study, since there are only three activities to invest in, the modification for selecting out feasible links is not necessary.
Notice that the computation of Γ ~ uses the maximum available power vector p ̂, and this lack of power control may discard feasible links that could be scheduled.
However, its performance in terms of outage probability is worst than the other approaches since it may discard feasible links in its first stage.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com